Calculates process variance and noise for kriging model.
[model]=EstimateVar(model)
mlist of type kmodel created previously.
updated kriging model.
Calculates process variance and noise for kriging model. Updates model.sigma - estimated process variance, model.noise - estimated noise, model.coefcov - parameter, that links correlation matrix to covariance matrix. C= model.coefcov*R;
Note: This function uses global variables Tyfb_kriging Ty_kriging.